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phi-3-text2sql-modal

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7743

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
No log 0 0 2.8715
1.3561 0.1072 500 0.8902
0.8557 0.2143 1000 0.8305
0.815 0.3215 1500 0.8092
0.7983 0.4287 2000 0.7938
0.7896 0.5358 2500 0.7866
0.7873 0.6430 3000 0.7800
0.7804 0.7502 3500 0.7764
0.7725 0.8574 4000 0.7749
0.7733 0.9645 4500 0.7743

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.3
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.19.1
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